class_docstr: Group of Ray Actors that can execute arbitrary functions.
  
  ``WorkerGroup`` launches Ray actors according to the given
  specification. It can then execute arbitrary Python functions in each of
  these workers.
  
  If not enough resources are available to launch the actors, the Ray
  cluster will automatically scale up if autoscaling is enabled.
  
  Args:
      num_workers: The number of workers (Ray actors) to launch.
          Defaults to 1.
      num_cpus_per_worker: The number of CPUs to reserve for each
          worker. Fractional values are allowed. Defaults to 1.
      num_gpus_per_worker: The number of GPUs to reserve for each
          worker. Fractional values are allowed. Defaults to 0.
      additional_resources_per_worker (Optional[Dict[str, float]]):
          Dictionary specifying the extra resources that will be
          requested for each worker in addition to ``num_cpus_per_worker``
          and ``num_gpus_per_worker``.
      actor_cls (Optional[Type]): If specified use this class as the
          remote actors.
      remote_cls_args, remote_cls_kwargs: If ``remote_cls`` is provided,
          these args will be used for the worker initialization.
      placement_group (PlacementGroup|str): The placement group that workers
          should be created in. Defaults to "default" which will inherit the
          parent placement group (if child tasks should be captured).
  
  
  Example:
  
  .. code_block:: python
  
      worker_group = WorkerGroup(num_workers=2)
      output = worker_group.execute(lambda: 1)
      assert len(output) == 2
      assert all(o == 1 for o in output)
docstr: Removes the workers with the specified indexes.
  
  The removed workers will go out of scope and their actor processes
  will be terminated.
  
  Args:
      worker_indexes (List[int]): The indexes of the workers to remove.
docstr_tok: ["Removes","the","workers","with","the","specified","indexes",".","The","removed","workers","will","go","out","of","scope","and","their","actor","processes","will","be","terminated",".","Args",":","worker_indexes","(","List","[","int","]",")",":","The","indexes","of","the","workers","to","remove","."]
code: def remove_workers(self, worker_indexes: List[int]):
      """Removes the workers with the specified indexes.
  
      The removed workers will go out of scope and their actor processes
      will be terminated.
  
      Args:
          worker_indexes (List[int]): The indexes of the workers to remove.
      """
      new_workers = []
      for i in range(len(self.workers)):
          if i not in worker_indexes:
              new_workers.append(self.workers[i])
      self.workers = new_workers
  
imports: import logging
  import os
  import socket
  from collections import defaultdict
  from dataclasses import dataclass
  from typing import Callable, Dict, List, Optional, Tuple, Type, TypeVar, Union
  import ray
  from ray.actor import ActorHandle
  from ray.air._internal.util import exception_cause, skip_exceptions
  from ray.types import ObjectRef
  from ray.util.placement_group import PlacementGroup
label_desc: Use image node_id 8 for calling the WorkerGroup obj's underlying member method code with example usage: obj.remove_workers(worker_indexes) without return types